{"id":"W7134295729","doi":"","title":"Purpose principle, personal data protection and public sector : study on network-based structures governance","year":2011,"lang":"fr","type":"article","venue":"theses.fr (ABES)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Context (archaeology); Jurisprudence; Data Protection Act 1998","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001925661,0.0004245451,0.0003952027,0.00008055414,0.001127149,0.0003339577,0.001524794,0.0003166906,0.001202152],"category_scores_gemma":[0.001179479,0.0004014652,0.00007307297,0.0007132366,0.0006779684,0.001557796,0.0009490537,0.0007452077,0.0001012846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002897263,"about_ca_system_score_gemma":0.0003786408,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04061502,"about_ca_topic_score_gemma":0.02047039,"domain_scores_codex":[0.9954916,0.001181716,0.0004066098,0.001090791,0.0009430602,0.0008862176],"domain_scores_gemma":[0.9976085,0.0001517456,0.0003987726,0.001375723,0.0001342115,0.0003310547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001865145,0.007694724,0.151427,0.0006771932,0.0008046404,0.000147079,0.1306149,0.00004664122,0.0002768321,0.4235772,0.003784442,0.2790841],"study_design_scores_gemma":[0.00355033,0.003287844,0.4269532,0.0003894633,0.0003627431,0.00003127037,0.02236942,0.005263625,0.0003527226,0.02520507,0.5104237,0.001810629],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680595,0.003651235,0.001499744,0.002601076,0.003924931,0.004548018,0.000847972,0.0003164181,0.01455105],"genre_scores_gemma":[0.9967,0.0003306175,0.0004373942,0.0002103755,0.001940305,0.0001336507,0.0000511125,0.00004647673,0.0001500983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5066393,"threshold_uncertainty_score":0.9998437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1740994273107371,"score_gpt":0.3213373873968724,"score_spread":0.1472379600861353,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}